Founding Engineer, AI at Cenna-systems — Hyderabad, IND | Base Career

Design and build multi-agent systems that orchestrate complex business process automation
Work with agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar) to build reliable, production-grade agentic workflows
Implement and optimize LLM-powered reasoning, planning, and tool-use capabilities
Build RAG pipelines and knowledge retrieval systems to ground agents in enterprise context
Fine-tune and evaluate Small Language Models (SLMs) for domain-specific tasks
Develop prompt engineering strategies and evaluation frameworks for agent reliability
Collaborate with integration engineers to connect agents with enterprise systems
Debug and improve agent behavior based on production feedback and failure analysis
3-5 years of experience in software engineering, with at least 1-2 years focused on AI/ML or LLM applications
Strong programming skills in Python
Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGen, Haystack, or similar
Experience building applications with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source models)
Understanding of prompt engineering, chain-of-thought reasoning, and tool-use patterns
Familiarity with RAG architectures, vector databases, and embedding models
Ability to debug complex AI systems and iterate based on real-world failures
Strong communication skills and ability to work cross-functionally
Experience fine-tuning LLMs or training custom models (LoRA, PEFT, etc.)
Familiarity with browser/computer-use agents and UI automation
Experience with ML infrastructure: model serving, GPU optimization, inference at scale
Background in reinforcement learning or decision-making systems
Understanding of enterprise IT, ITSM, or business process automation
Startup experience or comfort working in fast-paced, ambiguous environments

Founding Engineer, AI

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